michaeltrs / DeepSatModels
Deep learning models for remote sensing applications
☆174Updated 11 months ago
Alternatives and similar repositories for DeepSatModels:
Users that are interested in DeepSatModels are comparing it to the libraries listed below
- Lightweight, Pre-trained Transformers for Remote Sensing Timeseries☆206Updated 9 months ago
- Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision Workshop 2022 …☆83Updated 2 years ago
- PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.☆155Updated 6 months ago
- ☆209Updated 6 months ago
- SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation☆204Updated 10 months ago
- The official code repository for paper "Rethinking the Encoding of Satellite Image Time Series".☆36Updated last year
- This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellit…☆264Updated 2 weeks ago
- [RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies☆63Updated last year
- Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities☆113Updated last week
- A Satellite Time Series Dataset for Crop Type Identification☆201Updated 2 years ago
- ☆92Updated 3 months ago
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆93Updated 3 months ago
- Semantic segmentation from multi-source optical data (baseline for the FLAIR#2 challenge)☆71Updated 7 months ago
- PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-At…☆196Updated 3 years ago
- Make your models invariant to changes in scale.☆129Updated last year
- Open source remote sensing dataset with benchmarks☆181Updated 9 months ago
- Paraformer: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels☆87Updated 2 months ago
- A deep learning model for surface water mapping based on satellite optical image.☆100Updated 3 years ago
- Official code repository for NeurIPS 2022 paper "SatMAE: Pretraining Transformers for Temporal and Multi-Spectral Satellite Imagery"☆176Updated 5 months ago
- Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J.…☆201Updated last month
- ☆29Updated 10 months ago
- Crop type mapping of small holder farms in Ghana, and South Sudan☆86Updated 2 years ago
- ☆32Updated last year
- This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification)…☆47Updated 2 years ago
- Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic c…☆61Updated 3 years ago
- This is the repository for "A Segment Anything Model based weaky supervised learning method for crop mapping using Sentinel-2 time series…☆16Updated 5 months ago
- A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.☆164Updated last year
- Satellite cloud removal with Deep Image Prior.☆66Updated 6 months ago
- ☆32Updated last year
- DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as li…☆146Updated 8 months ago